C
ChromaDB/Context-1
Next-gen embedding model for retrieval and semantic search. Dense vectors for RAG pipelines.
embeddingsretrievalvector-search350M params
1.45K downloads 254 likes Updated 8 hours ago
Quick Start
# Install transformers
pip install transformers
# Load the model
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("ChromaDB/Context-1")
tokenizer = AutoTokenizer.from_pretrained("ChromaDB/Context-1")
# Generate
inputs = tokenizer("Hello, I am", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0]))Promote your model on Zoools
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